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2018 2nd international conference on Economic Development and Education Management (ICEDEM 2018)

作者： Lin Qing Huang Yulei Intelligent Science and Information Engineering College Xi'an Peihua University Intelligent Science and Information Engineering College Xi’an Peihua University

With the explosive growth of smart devices and the advent of many new applications, data traffic over Internet has grown dramatically. Due to high latency and heavy burden on the backhaul links, traditional centralized network architecture cannot accommodate such challenges. Therefore, new architectures bring network functions to the edge of network, such as small-cell base stations and access point. Mobile Edge computing(MEC) has been recognized as a promising technique to provide caching, computation and communication functionalities at the edge of cellular networks. In this paper, we first give an overview of mobile edge networks, including architecture and features. Next, a distributed and local-first computing(DLFC) model based on MEC is proposed, including distributed computing model and transmission model. Subsequently, the comparison between DLFC and centralized cloud computing(CCC) model is given and analyzed service delay and performance. Finally, the conclusion of this paper and future direction is presented as well.

关键词： Mobile edge computing Mobile network Cost-effective Service latency

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Optimization of Communication Network Efficiency Based on cloud computing 2019

Optimization of Communication Network Efficiency Based on Cl...

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Proceedings of the 2019 The 2nd international conference on Robotics, Control and Automation engineering

作者： Jin Jin Jingtao Luo Guoquan Zhang College of Electrical Engineering Northwest Minzu University Lanzhou Gansu China and Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Lanzhou Gansu China College of Electrical Engineering Northwest Minzu University Lanzhou Gansu China College of Mathematics and Computer Science Northwest Minzu University Lanzhou Gansu China

ISBN: (纸本)9781450376228

With the continuous development of communication Internet technology, the amount of data has increased dramatically. Massive data has placed extremely high demands on storage. Moreover, servers in the cloud data center have disk failures and rack failures, and there are often data loss events. occur. In order to prevent accidental data loss, improve data access efficiency, and ensure high-quality service supply, multiple copies of the original data are deployed in different nodes in the system and distributed in different servers. In this paper, the simulated annealing algorithm is introduced. By comparing the frequency of copy use, the copy position is migrated and moved to a node relatively close to the user to improve the communication efficiency of the high frequency copy. Finally, through the simulation of cloudSim, the feasibility of the algorithm in replica communication is verified.

关键词： multiple replicas simulated annealing algorithm cloud computing efficiency of communication

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Multi-Platform Mobile Thin Client Architecture in cloud Environment

Multi-Platform Mobile Thin Client Architecture in Cloud Envi...

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2011 2nd international conference on Innovative computing and Communication and 2011 Asia-Pacific conference on Information Technology and Ocean engineering(CICC-ITOE 2011)

作者： Wei Tang Jun-hyung Lee Biao Song Motaharul Islam Sangho Na Eui-Nam Huh Department of Computer Engineering Kyung Hee University Global Campus

In a thin client computing architecture, application processing is delegated to a remote server rather than running the application locally. User input is forwarded to the server, and the rendered images are relayed through a dedicated remote display protocol to the user's device. Thin-client computing offers the promise of easier-to-maintain computational services with reduced total cost of ownership. With the increasingly development of cloud technology, the server side of thin client architecture is able to be deployed in cloud, thus makes the full use of the features of the cloud, for example, virtualization, flexibility, security, and dynamic management. Meanwhile the client side can also use the mobile thin device. The traditional thin client architecture, which is platform-dependant, however, limits the most benefit of the software providers and end-users. So we propose multiplatform thin client architecture, which use VNC(Virtual Network computing) protocol and run in the cloud environment. In this architecture, both side of the service will benefit a lot. In the one hand, the end-user can use cheap, light mobile terminal which enjoy all kind of software service of different platform. In the other hand, the software provider or developer can get more benefit with more download mass and wider circulated.

关键词： component Thin Client,cloud computing,VNC,Virtual Desktop,distributed System

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Workshop Proceedings of the 10th international conference on Intelligent Environments

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丛书名： Ambient Intelligence and Smart Environments

2014年

作者： Juan Carlos Augusto T Zhang

ISBN: (数字)9781614994114

ISBN: (纸本)9781614994107

Advances in the engineering of sensing and acting capabilities, distributed in a wide range of specialized devices nowadays, provide an opportunity for the fundamental advances in computer science made in the past few decades to impact our daily lives. Sensors/actuators deployed in a physical space – a house, an office, a classroom, a car, a street – facilitate a link between an automated decision-making system and a technologically-enriched space. The Intelligent Environment, a digital environment that supports people in their daily lives, is a very active area of research which is attracting an increasing number of professionals (both in academia and industry) worldwide. The prestigious 10th international conference on Intelligent Environments (IE’14) is focused on the development of advanced Intelligent Environments and stimulates the discussion on several specific topics that are crucial to the future of the area. This volume is the combined proceedings of the workshops co-located with IE’14: 9th Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI’14); 2nd international Workshop on Applications of Affective computing in Intelligent Environments (ACIE’14); 3rd edition of the Workshop on Future Intelligent Educational Environments (WOFIEE’14); 2nd Workshop on cloud-of-Things 2014 (CoT’14); 3rd international Workshop on the Reliability of Intelligent Environments (WoRIE 2014); 4th Workshop on Creative Science 2014 (CS’14); and 1st Workshop on Hyperrealistic Intelligent Environments 2014 (HyperRealitIE’14). This book offers an overview of the latest developments in key areas of the development of Intelligent Environments.

关键词： Ambient intelligence Ubiquitous computing Human-computer interaction

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EBFT: Efficient BFT Consensus through Shortcut Replies

EBFT: Efficient BFT Consensus through Shortcut Replies

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IEEE international conference on Big Data and cloud computing (Bdcloud)

作者： Qingsheng Lei Yongjun Xia Qitao Guo Rui Hao Xiaohai Dai Weiqi Dai State Grid Hubei Electric Power Company Limited Economic & Technology Research Institute Hubei Central China Technology Development of Electric Power Company Limited Software Institute Nanjing University School of Computer Science and Technology Huazhong University of Science and Technology School of Cyber Science and Engineering Huazhong University of Science and Technology

As the core building block of blockchain technology, Byzantine Fault Tolerance (BFT) consensus has gathered renewed attention during the past decade. A large number of BFT consensus protocols have been proposed since its inception in the 1980s, the best-known of which is Practical Byzantine Fault Tolerance (PBFT). Generally speaking, PBFT consists of two sub-protocols: normal-case protocol and view-change protocol. However, it requires $7 \delta$ for a client to commit a request in the normal case, where $\delta$ represents the actual network delay. If a request happens to go through the view change process, it will take additional $7 \delta$ for a client to commit a request. To reduce the consensus latency, we propose a novel BFT consensus protocol named EBFT, which introduces the shortcut replies to the consensus design. With these shortcut replies, EBFT reduces the normal-case latency and view-change latency to $5 \delta$ and $2 \delta$, respectively. Extensive experiments are conducted to evaluate EBFT, whose results demonstrate its effectiveness.

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Customized web user interface for hadoop distributed file system

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Advances in Intelligent Systems and computing 2016年 380卷 567-576页

作者： Krishna, T. Lakshmi Siva Rama Ragunathan, T. Battula, Sudheer Kumar Hyderabad India Department of CSE ACE Engineering College Hyderabad India

ISBN: (纸本)9788132225225

distributed file system (DFS) is one of the main components of a cloud computing system used to provide scalable storage solutions for Big Data applications. hadoop distributed file system (HDFS) is one of the core components of Apache Hadoop project and many IT companies are using HDFS to store and manage Big Data. HDFS provides both command line and web-based interface to the users for storing and accessing data. The web-based user interface (WBUI) is used only for browsing the file system whereas the command line interface (CLI) is used for creating a file and performing read or write operations on the file. The CLI provides many more facilities and note that CLI is not user friendly as the user has to remember and type the commands to access the HDFS. In this paper, we propose a new customized web user interface (CWBUI) for the HDFS. We have developed CWBUI using servlets and java server pages (JSP) and deployed the same in a Hadoop cluster. The CWBUI is found to be very helpful in using the HDFS in an interactive manner without the need of typing commands in the user interface. © Springer India 2016.

关键词： File organization

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Design and Application of Innovative Teaching Platform Based on Fog computing

Design and Application of Innovative Teaching Platform Based...

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2018 2nd international conference on Education Innovation and Social Science (ICEISS 2018)

作者： Jiejian Cai Baoling Qin Fenglin Zheng Sina Li Yunshi Luo Jianwei Zhang College of Electronic Information Engineering Foshan University

Fog computing is a new type of calculation model in recent years, which shares part of the pressure of cloud computing storage, calculation and processing. Compared with the traditional teaching methods, this paper proposes to use fog computing and big data technology features to build an innovative teaching platform system and the fog model based on fog computing, which can reduce network broadband pressure, reduce the burden on cloud servers, improve comprehensive computing ability, and reduce delay. In addition, it can enhance the exchange of information between teachers and students, guarantee the full range of service levels between teachers and students, and mainly solve the problem of network congestion caused by big data teaching resources. The platform design mainly realizes the functions of resource sharing, teacher-student interaction, effect feedback, intelligent management, etc. Besides, it also can intelligently analyze student behavior, intelligently predict students' favorite courses recommend relevant courses for students to choose, and reform the teaching methods and management modes to improve the interaction between teaching and learning, and improve students' enthusiasm and efficiency in learning.

关键词： cloud computing Fog computing Fog Model distributed computing Innovative Teaching Platform

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Workload Balancing Model for Heterogeneous IoT Nodes Architectures

Workload Balancing Model for Heterogeneous IoT Nodes Archite...

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Electrical engineering and Automatic Control (ICEEAC), international conference on

作者： Mustafa Kh Aswad Fozia Al-Badree Beetro Ayad Ali Keshlaf Sintific commtiee Research Dept. Libyan Center for Electronic Systems Programming and Aviation Research Tripoli Libya Faculty Of Engineering University of Zawia Zawia Libya Computer Engineering and IT Dept. Faculty of Engneering Sabrahta Univeristy Sabrahta Libya

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

Heterogeneous IoT architectures are evolving rapidly and different challenged are faced with the traditional IoT architectures including the performance time of real-time IoT application. parallel computing programming technique could enhance the performance and efficiency for distributed systems and multicore processors as well as the IoT systems. However, parallel computing, presents certain difficulties and constraints, including synchronization, communication, security concerns, and load balancing. In this regard, a novel IoT workload balancing model for heterogeneous IoT architectures is presented in this paper. This model is intended to reduce the execution time of large systems by redistributing part of their functions to other involved IoT nodes. An experiment has been conducted to evaluate the actual real load for each IoT node and tried to rebalance the load using the proposed model. The results were encouraging as the performance time was reduced by about one third on two cores.

关键词： Program processors Computational modeling Computer architecture parallel processing Programming Real-time systems Internet of Things

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Air Quality Prediction in Smart Cities Using Regression Techniques

Air Quality Prediction in Smart Cities Using Regression Tech...

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Networking and Communications (ICNWC), international conference on

作者： Ritik Gupta Kushal Khandal M. Kandan Department of Computer Science and Engineering SRMIST Chennai India

ISBN: (数字)9798350365269

ISBN: (纸本)9798350365276

Air pollution in smart cities presents a significant risk to public health and general welfare. Precise air quality forecasting is essential for successful pollution reduction and long-term urban growth. This study performs a comprehensive comparative analysis of air quality prediction utilizing four regression techniques: Random Forest regression, Linear regression, Decision Tree regression, and XGBoost regression. The study seeks to determine the best effective model by evaluating criteria such as R2 measurements and Mean Absolute *** results demonstrate that the XGBoost regression method surpasses competing algorithms in terms of efficiency and accuracy. Moreover, the use of cloud computing technologies has greatly enhanced the implementation speed of these tactics. Utilizing distributed computing resources allows for real-time air quality forecasts, facilitating quick decision-making and proactive measures to combat air pollution *** work enhances air quality prediction methods in smart cities by highlighting the effectiveness of the XGBoost regression algorithm. The study highlights the crucial need of utilizing advanced regression techniques and cloud computing to improve the precision and effectiveness of air quality forecasts, aiding in proactive efforts to address air pollution and create healthier urban settings.

关键词： Smart cities Atmospheric measurements Atmospheric modeling Predictive models Air pollution Real-time systems Pollution measurement

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Implementing Molecular Dynamics Simulation on Sunway TaihuLight System

Implementing Molecular Dynamics Simulation on Sunway TaihuLi...

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IEEE international conference on High Performance computing and Communications

作者： Wenqian Dong Letian Kang Zhe Quan Kenli Li Keqin Li Ziyu Hao Xiang-Hui Xie College of Information Science and Engineering Hunan University Changsha Hunan 410082 China Department of Computer Science State University of New York New Paltz NY 12561 USA Jiangnan Institute of Computing Technology Wuxi Jiangsu 214000 China

ISBN: (纸本)9781509042982

Molecular dynamics (MD) simulation is a common tool to study the physical movements of atoms and molecules in many research fields. However, it is an extremely time-consuming application which takes researchers weeks or months to run a single simulation when simulation size scales up and computing demands keep growing. In this paper, an improved MD implementation on Sunway TaihuLight supercomputer is developed to solve the above mentioned issues. The new implementation is extended from an existing implementation (i.e., LAMMPS) which widely uses the MD application. Sunway TaihuLight is a heterogeneous supercomputer with a fully customized integration approach and a brand new many-core processor SW26010. The Sunway TaihuLight takes the world's first place with peak performance over 100PFlops. We propose an optimization method of the MD simulation in three steps: paralleled extensions to SW26010, memory-access optimizations, and vectorization. After the optimization process, an 8x speedup is achieved on a single computing node. Superiorly, we also scale up to 95 thousands computing nodes (6 millions cores) with an almost leaner speedup. Besides, the proposed methods can also be applied to many other molecular dynamics codes, or similar applications.

关键词： Sunway TaihuLignt Molecular Dynamics Simulation High performance computing parallel distributed computing

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